Steve Ma

About Me

I build AI infrastructures for autonomous vehicles at NVIDIA that help teach cars to drive themselves.

I’m particularly interested in reliable, high-performance software across the stack — from graphics rendering and concurrent algorithms down to the network fiber.

Experience

• NVIDIA Corporation — Senior Systems Software Engineer (2024/3–Present)
  Most of my current work falls into two areas:
  - Low-latency, high-throughput, and highly concurrent robotics data-processing pipelines.
  - Real-time data visualization platforms.
• NVIDIA Corporation — Systems Software Engineer (2022/7–2024/3)
  AI Infrastructure, Autonomous Vehicles.
• Adobe Inc. — Software Engineering Intern (2021/7–2021/9)
  E-commerce / payments infrastructure.
• NVIDIA Corporation — Software Engineering Intern (2021/3–2021/7)
  AI Infrastructure, Autonomous Vehicles.
• University of Washington — Researcher (2020/7–2024/1)
  I created the first VSCode extension for SBML-based biomedical simulations.
  Publication: Steve Ma, Longxuan Fan, Sai Anish Konanki, Eva Liu, John H. Gennari, Lucian P. Smith, Joseph L. Hellerstein, Herbert M. Sauro.
  VSCode-Antimony: a source editor for building, analyzing, and translating antimony models.
  Bioinformatics, 39(12), 2023, btad753. DOI: 10.1093/bioinformatics/btad753
• University of Washington — Head TA/Guest Lecturer (2019/12–2022/7)
  Courses on Database Systems.

Education

• University of Washington, Seattle — M.S. in Computer Science & Engineering (2021–2022)
• University of Washington, Seattle — B.S. (honors) in Computer Science (2017–2021)

Contact Information